results for the fourth quarter ended 31 december 2009...this presentation is focused on comparing...
TRANSCRIPT
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Results for the Fourth Quarter ended 31 December 2009
21 January 2010
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Disclaimer
This Presentation is focused on comparing results for the three months ended 31 December 2009 versus results achieved in the three months ended 31 December 2008 and versus results achieved in the previous quarter ended 30 September 2009. This shall be read in conjunction with Mapletree Logistics Trust’s financial results for the three months ended 31 December 2009 in the SGXNET announcement.
This release may contain forward-looking statements that involve risks and uncertainties. Actual future performance, outcomes and results may differ materially from those expressed in forward-looking statements as a result of a number of risks, uncertainties and assumptions. Representative examples of these factors include (without limitation) general industry and economic conditions, interest rate trends, cost of capital and capital availability, competition from similar developments, shifts in expected levels of property rental income, changes in operating expenses, including employee wages, benefits and training, property expenses and governmental and public policy changes and the continued availability of financing in the amounts and the terms necessary to support future business. You are cautioned not to place undue reliance on these forward looking statements, which are based on current view of management on future events.
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Agenda
� Key highlights
� Capital management
� Resilient portfolio
� Outlook
� Summary
� Appendix
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Key highlights
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� Steady FY 2009 and 4Q 2009 results � Amount Distributable rises by 21% in FY 2009
� Improvement in full year results on the back of 12% increase in net property income (“NPI”) and one-time gain on extension of lease of an existing property.
� 4Q 2009 DPU of 1.59 cents is 7% higher that 3Q 2009
� Excluding one-time effect of Prima1, DPU is 1.48 cents which is similar to 3Q 2009 DPU and vs 1.46 cents in 4Q 2008
� Stable tenant base ensures portfolio resilience � Sustained high portfolio occupancy above 98%
� Tenant retention improves to around 80%
� High quality tenancies, long leases and strong leasing covenants (e.g. ample security deposits, rental escalations, etc.)
� Diversified tenant base
1: This is a one-time consideration from Prima to extend the leases and licenses with Prima at 201 Keppel Road by 8 years. Please see SGXNET announcement on this dated 31 December 2009
Key Highlights
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Key highlights (cont’d)
� No balance sheet risk� Aggregate leverage as at 31 December 2009 is below 40% and lower than
our medium-term range of 40%-45%
� Strong interest cover ratio of about 5.0x
� Unsecured debt funding provides MapletreeLog with significant financial flexibility
� “Yield + Growth” strategy intact
� Focus on yield optimisation and balance sheet preservation
� Actively building acquisition pipelines in Singapore and rest of Asia
� Fund raising – balancing equity & debt mix for acquisitions
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� Strong and committed Sponsor
� Continues to incubate development pipelines
� Approximately S$300 million of Sponsor’s development pipeline completed or nearing completion
� The Manager is committed to maintain 100% distribution payout
Key highlights (cont’d)
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IN S$ THOUSANDS 4Q 2009 3Q 2009 Variance
GROSS REVENUE 50,785 50,767 0.0%
PROPERTY EXPENSES 5,844 6,707 -12.9%
NET PROPERTY INCOME 44,941 44,060 2.0%
AMOUNT DISTRIBUTABLE 31,826 28,793 10.5%
AVAILABLE DPU (CENTS) 1.59 1.48 7.4%
PROPERTY EXPENSES /
GROSS REVENUE11.5% 13.2% -1.7%
NPI / GROSS REVENUE 88.5% 86.8% 1.7%
AMOUNT DISTRIBUTABLE /
GROSS REVENUE62.7% 56.7% 6.0%
Statement of total return – 4Q 2009 vs 3Q 2009Q-o-Q
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Statement of total return – FY 2009 vs FY 2008
IN S$ THOUSANDS FY 2009 FY 2008 Variance
GROSS REVENUE 206,786 184,922 11.8%
PROPERTY EXPENSES 25,949 23,929 8.4%
NET PROPERTY INCOME 180,837 160,993 12.3%
AMOUNT DISTRIBUTABLE 117,881 97,413 21.0%
AVAILABLE DPU (CENTS) 6.02 7.24 -16.9%
PROPERTY EXPENSES /
GROSS REVENUE12.5% 12.9% -0.4%
NPI / GROSS REVENUE 87.5% 87.1% 0.4%
AMOUNT DISTRIBUTABLE /
GROSS REVENUE57.0% 52.7% 4.3%
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Scorecard since IPO (Amount Distributable)
1: Period for 3Q05 is from 28 July 2005 (Listing Date) to 30 September 20052: Decline in portfolio asset value is due to currency movements3: There was a one-time consideration from Prima Limited to extend the leases and licenses with them at 201 Keppel Road by 8 years. For details, please see SGXNET announcement dated 31 December 2009. Excluding this, amount distributable is S$29.5 million.
3
Asset Value
(S$)$422m $462m $715m $1.0b $1.1b $1.4b $1.5b $2.1b $2.4b $2.4b $2.5b $2.5b $2.7b $2.9b $3.0b $2.9b $2.9b $2.9b
Lettable Area
(mil sqm)0.8 0.8 0.9 1.1 1.2 1.4 1.5 1.6 1.6 1.8 1.9 2.0 2.1 2.1 2.1 2.1 2.1 2.2
4958
828181
4136
2824
8181
1815
79
72
6170
76
28.6 28.7 28.8
31.7
28.3
19.1
15.3
9.68.3
6.0
22.621.019.7
17.7
11.810.7
25.4
4.3
0
10
20
30
40
50
60
70
80
90
3Q05 4Q05 1Q06 2Q06 3Q06 4Q06 1Q07 2Q07 3Q07 4Q07 1Q08 2Q08 3Q08 4Q08 1Q09 2Q09 3Q09 4Q09
Nu
mb
er
of
pro
pe
rtie
s
3.0
6.0
9.0
12.0
15.0
18.0
21.0
24.0
27.0
30.0
33.0
Am
ou
nt D
istrib
uta
ble
(S$
m)
1
CAGR = 60%
FY06 Amt Dist = S$40.4m FY07 Amt Dist = S$71.8m FY08 Amt Dist = S$97.4m
2
FY09 Amt Dist = S$117.9m
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Asset Value
(S$)$422m $462m $715m $1.0b $1.1b $1.4b $1.5b $2.1b $2.4b $2.4b $2.5b $2.5b $2.7b $2.9b $3.0b $2.9b $2.9b $2.9b
Lettable Area
(mil sqm)0.8 0.8 0.9 1.1 1.2 1.4 1.5 1.6 1.6 1.8 1.9 2.0 2.1 2.1 2.1 2.1 2.1 2.2
1824
82
5849
413628
818176
7061
7279
15
81 81
0.80
1.051.10
1.19
1.32
1.45 1.481.59
1.721.78
1.902.04
1.84
1.46 1.47 1.481.59
1.48
0
10
20
30
40
50
60
70
80
90
3Q05 4Q05 1Q06 2Q06 3Q06 4Q06 1Q07 2Q07 3Q07 4Q07 1Q08 2Q08 3Q08 4Q08 1Q09 2Q09 3Q09 4Q09
Nu
mb
er
of
pro
pe
rtie
s
0.50
0.70
0.90
1.10
1.30
1.50
1.70
1.90
2.10
Ac
tua
l DP
U (c
en
ts)
1
2
3
CAGR = 18%
FY06 DPU = 5.06 cents FY07 DPU = 6.57 cents FY08 DPU = 7.24 cents FY09 DPU = 6.02 cents
Scorecard since IPO (DPU)
1: Period for 3Q05 is from 28 July 2005 (Listing Date) to 30 September 20052: Drop in DPU in 4Q08 is due to increase in number of units following the rights issue in August 2008 which increased the number of units from 1,108 million to 1,939 million3: Decline in portfolio asset value is due to currency movements4: There was a one-time consideration from Prima to extend the leases and licenses with them at 201 Keppel Road by 8 years. For details, please see SGXNET announcement dated 31 December 2009. Excluding this, DPU is 1.48 cents.
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7.7%
2.6%
1.5%
0.5%
2.5%
0.0%
1.0%
2.0%
3.0%
4.0%
5.0%
6.0%
7.0%
8.0%
MapletreeLog FY
2009 Yield
10-Year Singapore
Government Bond
5-Year Singapore
Government Bond
Bank 12-month Fixed
Deposit Rate
CPF Ordinary
Account
Yie
ld %
1
2
2
3
4
Attractive yield vs other investments
1: Based on MapletreeLog's closing price of 78.5 cents unit as at 20 Jan 2010 and actual FY 09 DPU of 6.02 cents. 2: Bloomberg3: Average S$ 12-month fixed deposit savings rate as at 20 Jan 20104: Prevailing CPF Ordinary Account interest rate5: Based on MapletreeLog's closing price of [S$0.78] per unit as at 20 Jan 2010 and NAV per unit of S$0.85 as at 31
Dec 2009
Trading at 8% discount to NAV 5
4.8% yield spread over 10-Year Bond
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Capital management
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Balance Sheet 30 Sep 2009
S$’000
31 Dec 2009
S$’000
Total assets 3,034,927 3,000,194
Including
Investment Properties 2,896,273 2,933,250
Revaluation Gains - (16,539)
Total liabilities 1,330,930 1 1,246,845 2
Net assets attributable to unitholders 1,703,997 1,753,349
NAV per Unit S$0.88 3 S$0.85 4
Financial Ratio
Aggregate Leverage Ratio 38.1% 5 36.7%
Total Debt S$1,175 million S$1,093 million
Weighted Average Annualised Interest Rate 6 2.7% 2.6%
Interest Service Ratio 7 4.8 times 4.9 times
Capital management
1: Includes derivative financial instruments, at fair value, liability of S$53.9 million.2: Includes derivative financial instruments, at fair value, liability of S$46.4 million.3: Includes net derivative financial instruments, at fair value, liability of S$50.3 million. Excluding this, the
NAV per unit would be S$0.90.4: Includes net derivative financial instruments, at fair value, liability of S$43.0 million. Excluding this, the
NAV per unit would be S$0.87.5: Excludes S$40 million borrowings ear-marked for re-financing existing borrowings. If we include this, the
leverage ratio would be 38.9%.6: For the quarter ended.7: Ratio of EBITDA over interest expense for period up to balance sheet date.
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80% 80% 78% 76%81%
20% 20% 22% 24%19%
0%
20%
40%
60%
80%
100%
Q4 08 Q1 09 Q2 09 Q3 09 Q4 09
38.5% 39.0%1 38.7%238.9%3 36.7%
Over 80% of total debt is long term
Total Debt4 1.2bn 1.2bn 1.2bn 1.1bn
Long Term
Short Term1: Excluding approximately S$40m cash earmarked for debt-financing - 38.3%2: Excluding approximately S$40m cash earmarked for debt-financing – 37.8%3: Excluding approximately S$40m cash earmarked for debt-financing – 38.1% 4: Actual debt as at quarter-end. Excludes deferred consideration
Gearing
1.2bn
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15
6% 4%
21%
1%
41%
4%
4%
2%
1%6%
5%
2%2%
1%
0%
10%
20%
30%
40%
50%
60%
70%
80%
Maturing in
2009
Maturing in
2010
Maturing in
2011
Maturing in
2012
Maturing in
2013
SGD HKD JPY MYR CNY KRW USD
5%1%5%
2%
1%5%
22%
44%
4%
6%
3%
2%
0%
0%
10%
20%
30%
40%
50%
60%
70%
80%
Maturing in 2010 Maturing in 2011 Maturing in 2012 Maturing in 2013
SGD HKD JPY MYR CNY KRW USD
Debt Amount
Actual Debt as at 30 September 2009
S$1,093 million
Actual Debt as at 31 December 2009
S$1,135 million
Average Duration= 1.9 years
Average Duration= 2.0 years
S$m S$m
1: Actual Debt as at 30 September 2009; excludes deferred consideration of S$4.4 mil
Proforma
19% or S$204 million of debt due in FY 2010
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Natural hedge our preferred forex hedging policyLocal currency loans set up natural hedge against currency fluctuations
Gearing level – by country (as at 31 December 2009)
11%
98%
42% 45%
82%
100%89%
58% 55%
18%
2%
0%
20%
40%
60%
80%
100%
Equity % 89% 2% 58% 55% 18% 0%
Debt % 11% 98% 42% 45% 82% 100%
Singapore China Hong Kong Malaysia Japan Korea
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Hedging Profile
66% 61%
43%31%
22%
4%
34% 39%
57%69%
78%
96%
0%
20%
40%
60%
80%
100%
2009 2010 2011 2012 2013 2014
61%46%
32%23%
31%
50%
67%77%
96%
4%
1%
4%
8%
0%
20%
40%
60%
80%
100%
2010 2011 2012 2013 2014
69%
50%33%
Hedged
Floating Rate Weighted average no. of years of hedged rates = 2.12
Interest rate management – overall portfolio (% terms)
New Hedged
1: Actual Debt as at 30 September 2009; excludes deferred consideration of S$4.4 million 2: Actual Debt as at 31 December 2009; excludes deferred consideration of S$8.7 mil
81 Properties as at 30 September 2009
Weighted average no. of years of hedged rates = 2.1 1
82 Properties as at 31 December 2009
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Simulation 1:Impact of any potential increase in base interest rates on average interest cost
Every potential 0.25% increase in base rates1, may result in around 0.08% change in average interest cost
0.31%2.89%+ 1.00%
0.24%2.82%+ 0.75%
0.16%2.74%+ 0.50%
0.08%2.66%+ 0.25%
-2.58%Current
ChangeAverage Interest Cost (all-
in)Change in Base Rate
1: Base rate denotes SGD swap offer rate, USD LIBOR, JPY LIBOR, HIBOR and KLIBOR
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Prudent capital management
� Have sufficient resources to meet all 2010 debt obligations when they become due
� Comfortable gearing ratio – 36.7% in Dec 09, which is lower than our medium-term target range of 40%-45%
� Interest cover ratio maintained at about 5.0x
� Hedges on borrowings increased to approximately 70% in Dec 09
� All loans are unsecured; minimal financial covenants; no CMBS
� Credit rating of Baa2 with stable outlook by Moody’s
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Resilient portfolio
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Resilient portfolio
� Occupancy rate improves to 98.1% in Dec 09 vs 97.1% in Sep 09
� Stable tenant base� Approximately 95% of leases due for renewal in 2009 have been renewed and/or replaced1
�Balance 5% expected to be leased soon
� Tenant retention improves to approximately 80%
�Stability from long leases� Weighted average lease term to expiry (“WALE”) maintained at about 5 years
� Ample cushion from security deposits� Equivalent to 55% of 2009 gross revenue, or average of 6.8 months coverage
1: By gross revenue
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Resilient portfolio (cont’d)
� Arrears ratio steady at around 1% of annualised gross revenue
� Enquiry levels for space improving across countries
� Diversification in terms of geography, tenants and end-users
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� Around 95% of leases1 expiring in 2009 have been renewed/replaced to date (19.6% of overall portfolio revenue)
� Average reversion rate flat2 due to priority in retaining tenants� Balance space left to be renewed/replaced is approx 13,000 sqm (0.6% of portfolio NLA or 1% of portfolio revenue).
� In 2010, around 16% of leases (by gross revenue; 12% by NLA) are up for renewal –these are mostly in Singapore, Malaysia and Hong Kong
Successful lease renewals in FY 2009
Singapore Hong Kong China Malaysia Total area
% of 2009
renewals
Total renewable for FY 2009 100.5 105.1 33.8 18.1 257.4 100%
(12.1% of total portfolio)
Spaces renewed/replaced to date 95.3 98.7 33.2 17.4 244.6 95%
(11.5% of total portfolio)
5.2 6.4 0.6 0.7 12.8 5%
(0.6% of total portfolio)Spaces to be renewed
1: As % of gross revenue
2: Compared to previous prevailing rentals
Spaces renewed/replaced in FY 2009 (in ’000 sqm)
Spaces up for renewal in FY 2010 (in ’000 sqm)Singapore Malaysia Hong Kong China Total area
Total renewable for FY 2010 82.4 69.3 68.1 43.1 262.9
(12% of portfolio NLA)
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95% 95%
5% 5%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
By Gross Revenue By Lettable Area
Renewed to date Balance to be renewed
% r
en
ew
ed
to
date
Successful lease renewals in FY 2009 (cont’d)
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Portfolio value remains steadyRevaluation loss of S$16.5 million or less than 1% in
FY 2009
Breakdown by Countries
1: Drop in market value in Singapore is due to revaluation of 9 Tampines as a light industrial building instead of a datacentre
2: Drop in market value in Japan and South Korea are due to recent comparative transactions in the respective markets
2
2
1
Revaluation gain/loss
(in S$ '000)
Singapore -1,596
Hong Kong 2,245
Japan -17,628
China 2,602
Malaysia 38
South Korea -2,201
Total -16,539
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MapletreeLog’s warehouse space High occupancy levels sustained
Source: Mapletree, URA 3Q09
98.9%
93.4%
100.0%
95.7%
99.6%100.0%
98.1%
88.0%
90.0%
92.0%
94.0%
96.0%
98.0%
100.0%
Singapore Hong
Kong
Japan China Malaysia S. Korea Total
Portfolio
URA Avg: 92%
MLog
81 properties as at
30 Sep 2009
MLog
82 properties as at
31 Dec 2009Weighted Average
Occupancy Rate97.1% 98.1%
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3.9%
3.5%3.3% 3.3%
1.9%
4.7%
2.6%
2.1%2.2%
0.9%
3.3%
1.9%
2.1%2.2%
3.3%3.3%3.5%
1.8%
3.3%
3.0%
0%
1%
2%
3%
4%
5%
NEC
Logistics
Nichirei
Kyoto
Toshiba
Logistics
Menlo Group TeckWah
Group
SH Cogent
Group
Vopak Asia
Group
Tentat Group Fu Yu
Corporation
Ltd
Hankyu
Hanshin
Holdings
81 properties as at 30 September 2009 82 properties as at 31 December 2009
Fu Yu
235 tenants in portfolio, no single tenant accounts for >5% of total revenue
NEC Logistics
Menlo
Group
TeckWah
Group
Toshiba
Logistics
Hankyu Hanshin Holdings
Nichirei Kyoto
Vopak Asia Group
Tentat
Group
Top 10 tenants by gross revenue
Diversified tenant mix provides portfolio stability
Top 10 tenants account for approx 29% of total gross revenue
Multinational logistics operators
Singapore listed groups
Private groups
SH Cogent
Group
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Non-FTZ 3PL
51.7%
Distribution
Centre
21.0%
Oil &
Chemical
Logistics
3.1%
Industrial
Warehousing
12.6%
Food & Cold
Storage
5.8%
FTZ 3PL
5.8%Non-FTZ 3PL
51.4%
Distribution
Centre
21.0%
FTZ 3PL
5.8%
Food & Cold
Storage
5.9%
Industrial
Warehousing
12.7%
Oil & Chemical
Logistics
3.2%
Professional 3PLs face leasing stickiness
Gross revenue contribution by trade sector(81 properties as at 30 Sep 2009)
Gross revenue contribution by trade sector(82 properties as at 31 Dec 2009)
Total 3PL: 57.2% Total 3PL: 57.5%
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Exposure to stable end-users
Gross revenue contribution by tenant distribution channel1 (as at 31 Dec 2009)
Stable gross revenue contribution by end-user industry (as at 31 Dec 2009)
1: Analysis is for tenants who are 3PLs and distributors
Tenants more reliant on inland and sea channels
Mixture (Air/Sea/Inland)31%
Sea
13%
Inland
43%
Air
13%Utilities & Telecommunication
Services
5%
Electrical & Electronics
6%
Chemicals
1%
F&B
16%
Information Technology
14%
Consumer Durables & staples
20%
Materials, Construction &
Engineering
10%
Commercial Printing
7%
Health Care
7%
Energy & Marine
7%
Industrials
7%
3030
30
Single-tenanted vs multi-tenanted buildings(by gross revenue)
Single-tenanted vs multi-tenanted
by gross revenue (as at 31 Dec 09)
Single-
tenanted
59%
Multi-
tenanted
41%
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31
7.5%
12.3%
36.6%
3.4%
16.7%16.7%
8.9%
17.9%
12.6%
36.6%
3.3%
15.7%
0%
10%
20%
30%
40%
Expiring in
2010
Expiring in
2011
Expiring in
2012
Expiring in
2013
Expiring in
2014
Expiring after
2014
81 properties as at 30 September 2009 82 properties as at 31 December 2009
Long leases provide rental baseloadWeighted average lease term to expiry: ~5 years
Lease Expiry Profile by Gross Revenue
1
1: Noted that figures above the orange bars add up to 95%. The balance 5% relates to leases that were up for renewal in 2009 that have not yet been renewed.
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32
4.4%
3.2%
9.9%
17.0%
6.2%
2.0%
2.1%
0.6%
0.5%
5.7%
9.2%
0.5%
0.1%
7.5%
1.6%
0.7%
2.8%
0.2%
1.1% 1.3%
1.3%
2.2%
14.7%
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
2010 2011 2012 2013 2014 >2014
15.7% 17.9% 8.9% 3.3% 12.6% 36.6%
Lease expiry by year (entire portfolio)
As
% o
f to
tal
po
rtfo
lio
re
ve
nu
e
Singapore Hong Kong China Malaysia Japan S. Korea
Bulk of leases expiring only beyond 2014
Lease Expiry Profile by Gross Revenue (by country)
1
1: Noted that figures above the orange bars add up to 95%. The balance 5% relates to leases that were up for renewal in 2009 that have not yet been renewed.
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33
7.2%
0.9%
11.4%
7.1%
12.2%
0.9%
9.7%
27.8%
42.1%
26.7%
41.3%
12.5%
0%
10%
20%
30%
40%
50%
0 - 20 yrs 21 - 30 yrs 31 - 40 yrs 41 - 50 yrs 51 - 60 yrs > 60 yrs
% o
f T
ota
l L
ett
ab
le A
rea
81 properties as at 30 September 2009 82 properties as at 31 December 2009
Long land leases provide stability to the portfolioWeighted average of unexpired lease term of underlying land: approx 153 yrs1
1: For computation purposes, freehold properties are assigned a lease term of 999 years
Remaining Years to Expiry of Underlying Land Lease
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34
Outlook
35
35
MapletreeLog’s strategy for 2010
“Yield + Growth” strategy intact - focusing on yield preservation and looking for growth via accretive acquisitions1
� Completed acquisition of 7 Penjuru Close for S$43 million in Dec 2009
� Announced acquisition of 9th Japan property for S$68 million in Dec 2009
� Actively building a pipeline of accretive third party acquisition opportunities
� More realistic price expectations from vendors
� Strong, experienced team with proven track record
� No compromise on our rigorous asset selection criteria
� Sponsor continues to lease / construct the development pipelines earmarked for MapletreeLog
� Fund raising – balancing equity & debt mix for acquisitions
� Undertake BTS opportunities within MapletreeLog
Challenging but improving environment ���� some easing of pressure on warehousing rentals and occupancyResponse ���� Yield protection & tenant retention are our key priorities
���� Growth via accretive acquisitions
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MapletreeLog’s strategy for 2010Challenging but improving environment ���� some easing of pressure on warehousing rentals and occupancyResponse ���� Yield protection & tenant retention are our key priorities
���� Look for growth via accretive acquisitions
Optimise yield from existing portfolio2
� Active leasing and marketing, tenant retention and asset management to preserve cash flows and manage expenses
� Focus on maintaining portfolio occupancy
� Sustainable long term gearing levels
� No refinancing risks
� Active hedging and terming out to manage debt and currency profile
� Less predictable approach to fund raising
3 Proactive capital management strategy
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Outlook for 2010 – improving but still challenging
Execution
� Resilient cash flows –full effect of recently announced acquisitions to improve topline
� Tenant stickiness, high renewal rates sustained ~80% in 4Q 091
� Stable rentals: 59% from single-tenanted buildings with built-in rental escalations
� High occupancy rate: >98% as at Dec 2009
� Some organic growth: 1.2% in Dec 20092
Action plan
Growing top line
Managing property expenses
� Triple net covenants: 51% of lettable area
� Non-inflationary macro-environment; CPI Inflation forecast: 2.5% to 3.5% in 20103
� Known property costs: 76% of property related expenses fixed
1
2
Managing other expenses
3
1: In terms of gross revenue2: Growth is for the assets in the portfolio at the beginning of Jan 083: MAS Survey of Professional Forecasters, Dec 2009; Bloomberg
� Benign interest rate environment: 2.6% interest cost at Dec 2009
� 69% hedged as at Dec 2009
� Adequate debt financing facilities
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Summary
3939
39
In Summary
� Resilient portfolio will continue to provide stability to revenue & DPU
� Continue to focus on yield optimisation and maintaining occupancy
� Recently announced acquisitions to add to revenue and DPU in 2010
� Explore accretive acquisitions� Experienced team with proven track record � Maintain rigorous asset selection criteria� Acquisitions will be funded by a mixture of debt and equity to
maintain acceptable leverage ratio� No EFR for recapitalisation purposes
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40
Strength in adversity
� Amount distributable:� S$118 million in FY 2009; 21% higher than in FY 2008� S$32 million in 4Q 2009; 12% higher than in 4Q 2008
� 4Q 2009 DPU is 7% higher than 3Q 2009 DPU ���� 1.59 cents
� Expect NPI and amount distributable in FY 2010 to be better than FY 2009
41
41
Recap
IN S$ THOUSANDS FY 2009 FY 2008 Variance
GROSS REVENUE 206,786 184,922 11.8%
PROPERTY EXPENSES 25,949 23,929 8.4%
NET PROPERTY INCOME 180,837 160,993 12.3%
AMOUNT DISTRIBUTABLE 117,881 97,413 21.0%
AVAILABLE DPU (CENTS) 6.02 7.24 -16.9%
PROPERTY EXPENSES /
GROSS REVENUE12.5% 12.9% -0.4%
NPI / GROSS REVENUE 87.5% 87.1% 0.4%
AMOUNT DISTRIBUTABLE /
GROSS REVENUE57.0% 52.7% 4.3%
42
42
Thank you
43
43
Appendix
4444
44
Distribution details
1.594Q 2009MapletreeLog
Distribution per unit(S$ Cents)
Distribution PeriodCounter Name
Distribution Time Table
Notice of book closure date 21 January 2010
Last day of trading on “cum” basis 26 January 2010, 5:00pm
Ex-date 27 January 2010, 9:00am
Books closure date 29 January 2010, 5:00pm
Distribution payment date 26 February 2010
Note: 17th distribution for the period from 1 January 2009 to 17 November 2009 (already paid on 24 December 2009) and 18th distribution for the period from 18 November 2009 to 31 December 2009.
45
45
Geographical DiversificationCountry Allocation - By NPI – FY 2008 vs FY 2009
Note: FY 2008 started with 70 properties and ended with 81 properties. FY 2009 started with 81 properties and ended with 82 properties.
South South South South KoreaKoreaKoreaKorea
1%1%1%1%JapanJapanJapanJapan15%15%15%15%
ChinaChinaChinaChina7%7%7%7%
MalaysiaMalaysiaMalaysiaMalaysia5%5%5%5%
Hong Hong Hong Hong KongKongKongKong22%22%22%22%
SingaporeSingaporeSingaporeSingapore50%50%50%50%
FY 2009
South South South South KoreaKoreaKoreaKorea
1%1%1%1%JapanJapanJapanJapan13%13%13%13%
ChinaChinaChinaChina5%5%5%5%
MalaysiaMalaysiaMalaysiaMalaysia5%5%5%5%
Hong Hong Hong Hong KongKongKongKong24%24%24%24%
SingaporeSingaporeSingaporeSingapore52%52%52%52%
FY 2008
46
46
Geographical Diversification
Country Allocation - By NPI – 3Q 2009 vs 4Q 2009
Note : 4Q 2009 started with 81 properties and ended with 82 properties. 3Q 2009 started and ended with 81 properties.
South
Korea
1%
Japan
16%
China
8%
Malaysia
5%
Hong
Kong
22%
Singapore
48%
3Q 2009
South South South South KoreaKoreaKoreaKorea
1%1%1%1%JapanJapanJapanJapan15%15%15%15%
ChinaChinaChinaChina7%7%7%7%
MalaysiaMalaysiaMalaysiaMalaysia5%5%5%5%
Hong KongHong KongHong KongHong Kong21%21%21%21%
SingaporeSingaporeSingaporeSingapore51%51%51%51%
4Q 2009
4747
47
Country split of MTB
Singapore
43%
Hong Kong
43%
China
13%
Malaysia
1%
Country split of SUA
Singapore
60%
China
2%
Hong Kong
2%
Japan
27%
Malaysia
8%
S. Korea
1%
Single-tenanted vs multi-tenanted buildings(by gross revenue)
1
1: SUA refers to single user assets; MTB refers to multi-tenanted buildings
1
Single-tenanted vs multi-tenanted
by gross revenue (as at 31 Dec 09)
Single-
tenanted
59%
Multi-
tenanted
41%
4848
48
Single-tenanted vs multi-tenanted buildings(by no. of assets and NLA)
By no. of assets By NLA
Note: As at 31 Dec 09
Multi-
tenanted,
16
Single-
tenanted,
66
Single-
tenanted,
48%
Multi-
tenanted,
52%
49
49
Singapore warehouse oversupply exaggerated
� Over 69% of upcoming supply in Singapore has already been pre-leased or is being built by end-users ���� balance amount (191k sqm) is not a big threat
� No new spaces coming up in Hong Kong in the next 2 years
Source: URA 3Q 09, Mapletree estimates
Upcoming supply of warehouses in SingaporeUpcoming supply of warehouses in Singapore vs existing Stock
Competitive
Supply
3%
Existing
Stock
97%
6,785k sqm
191k sqm
Total Stock
6,976k sqm
Competitive
Supply
31%
Taken up by
End Users /
Pre-Leased
69%
191k sqm
425k sqm
Total: 616k sqm over the next 3 yrs
50
50
Singapore warehouse occupancy trend
Source : URA 3Q09
2,000
3,000
4,000
5,000
6,000
7,000
8,000Q1 94
Q3 94
Q1 95
Q3 95
Q1 96
Q3 96
Q1 97
Q3 97
Q1 98
Q3 98
Q1 99
Q3 99
Q1 00
Q3 00
Q1 01
Q3 01
Q1 02
Q3 02
Q1 03
Q3 03
Q1 04
Q3 04
Q1 05
Q3 05
Q1 06
Q3 06
Q1 07
Q3 07
Q1 08
Q3 08
Q1 09
Q3 09
('0
00
sq
m)
75%
80%
85%
90%
95%
100%
Oc
cu
pa
nc
y
Existing Stock Upcoming Supply Occupancy
Asian Financial Crisis,
Jul 97 SARS,
Nov 02Dot Com Burst,
Mar 00
Current Financial Crisis, Jul 07
Bali Bombing, Oct
05
91.8%
51
51
-
2,000
4,000
6,000
8,000
10,000
12,000
14,000
199
8Q
4
199
9Q
2
199
9Q
4
200
0Q
2
200
0Q
4
200
1Q
2
200
1Q
4
200
2Q
2
200
2Q
4
200
3Q
2
200
3Q
4
200
4Q
2
200
4Q
4
200
5Q
2
200
5Q
4
200
6Q
2
200
6Q
4
200
7Q
2
200
7Q
4
200
8Q
2
200
8Q
4
200
9Q
2
S$ P
SM
Multiple User Warehouse (Average) Office (Average) Retail (Average)
Capital values peaked:
2Q 2008 (office, retail)
3Q 2008 (warehouse)
Capital values hit bottom:
2Q 2004 (warehouse, office)
3Q 2008 (retail)
Warehouse sector is less volatile
Source: URA 3Q09, Singapore; Median Price & Rental of Multiple-user Warehouse
Capital values Rental values
Capital Retail Office Warehouse
Avd p.a.
ChgQtrs
Avd p.a.
ChgQtrs
Avd p.a.
ChgQtrs
Trough to Peak 9% 17 9% 17 8% 16
Rental Retail Office Warehouse
Avd p.a.
ChgQtrs
Avd p.a.
ChgQtrs
Avd p.a.
ChgQtrs
Trough to Peak 10% 17 37% 17 11% 16
-
10
20
30
40
50
60
70
80
90
100
19
98
Q4
19
99
Q2
19
99
Q4
20
00
Q2
20
00
Q4
20
01
Q2
20
01
Q4
20
02
Q2
20
02
Q4
20
03
Q2
20
03
Q4
20
04
Q2
20
04
Q4
20
05
Q2
20
05
Q4
20
06
Q2
20
06
Q4
20
07
Q2
20
07
Q4
20
08
Q2
20
08
Q4
20
09
Q2
S$
PS
M p
er
mth
Multiple User Warehouse (Average) Office (Average) Retail (Average)
Rentals peaked: 2Q 2008Rentals hit bottom: 1Q 2004
52
52
-
1,000
2,000
3,000
4,000
5,000
6,000
7,000
199
1
199
2
199
3
199
4
199
5
199
6
199
7
199
8
199
9
200
0
200
1
200
2
200
3
200
4
200
5
200
6
200
7
200
8
200
9
20
10
F
20
11
F
20
12
F
('0
00
sq
ft)
82%
84%
86%
88%
90%
92%
94%
96%
98%
100%
Oc
cu
pa
nc
y
Warehouse Supply Occupancy
Hand over of HK, Jul 97
Asian Financial Crisis, Jul 97
HK Influenza, Dec 97
Dot Com Burst, Mar 00
SARS, Nov 02
Bali Bombing, Oct 05
Current Financial Crisis, Jul 07
Lack of new supply in HK is supportive to revenues
Source : Savills Research and Consultancy (HK), Jul 09; Mapletree estimates1: New World development located at Kwai Chung Container Port2: Goodman development located at Tsing Yi
No New Supply
1
2
53
53
Steady increase in Asia’s share of the global logistics market
Source: Datamonitor, December 2008
183 199 220 243 272 291 318 350387
432
42%
40%
38%
36%
35%
34%
32%
31%
30%
29%
0
200
400
600
800
1000
1200
2003 2004 2005 2006 2007 2008F 2009F 2010F 2011F 2012F
Lo
gis
tic
s M
ark
et
Va
lue
US
$ b
illi
on
25%
27%
29%
31%
33%
35%
37%
39%
41%
43%
Sh
are
of
As
ia-P
ac
ific
in
glo
ba
l lo
gis
tic
s
Asia-Pacific Rest of the World Asia-Pacific as % of Global Logistics
54
54
…due to higher growth compared to the rest of the world
Source: Datamonitor, December 2008
Asia-Pacific Logistics Market
432
272
0
100
200
300
400
500
600
700
800
2007 2012F
Lo
gis
tic
s M
ark
et
Va
lue U
S$
bil
lio
n
CAGR = 9.7%
Rest of the World Logistics Market
609
532
2007 2012F
CAGR = 5.3%
55
55
No Country Project nameGFA (sqm)
Status
1 ChinaMapletree Yangshan Bonded Logistics Park (Shanghai)
46,000 Completed/leasing
2 China Mapletree Wuxi Logistics Park (Wuxi) 45,400 Completed/leasing
3 ChinaMapletree Beijing EPZ Airport Logistics Park (Beijing)
41,100 Under Planning
4 ChinaMapletree Tianjin Airport Logistics Park (Tianjin)
63,400To be completed 3Q 2010
5 ChinaMapletree Tianjin Port HaiFeng Bonded Logistics Park (Tianjin)
191,000 Completed / leasing
Subtotal China 386,900
6 MalaysiaMapletree Shah Alam Logistics Park (Shah Alam)
60,000 Completed/leasing
Subtotal Malaysia 60,000
7 Vietnam Mapletree Logistics Centre (Binh Duong) 23,600 Completed / fully leased
8 Vietnam Mapletree Logistics Park (Binh Duong) 442,000Phases 1 & 2 to be completed end 1Q 2010 / leasing
9 VietnamMapletree Bac Ninh Logistics Park (Bac Ninh)
320,000 Under planning
Subtotal Vietnam 785,600
Total 1,232,500
MIPL’s commitment in development projectsApproximately S$300m completed or nearing completion
56
56
Important notice
The information contained in this presentation is for information purposes only and does not constitute an offer to sell or any solicitation of an offer or invitation to purchase or subscribe for units in Mapletree Logistics Trust (“MLog”, and units in MLog, “Units”) in Singapore or any other jurisdiction, nor should it or any part of it form the basis of, or be relied upon in any connection with, any contract or commitment whatsoever.
The past performance of the Units and Mapletree Logistics Trust Management Ltd. (the “Manager”) is not indicative of the future performance of MLog and the Manager. Predictions, projections or forecasts of the economy or economic trends of the markets which are targeted by MLog are not necessarily indicative of the future or likely performance of MLog.
The value of units in MLog (“Units”) and the income from them may fall as well as rise. Units are not obligations of, deposits in, or guaranteed by, the Manager or any of its affiliates. An investment in Units is subject to investment risks, including the possible loss of the principal amount invested. Investors have no right to request the Manager to redeem their Units while the Units are listed. It is intended that Unitholders may only deal in their Units through trading on the SGX-ST. Listing of the Units on the SGX-ST does not guarantee a liquid market for the Units. The past performance of MLog is not necessarily indicative of its future performance.
57
57
Thank you